Cloud Data Engineer Job Openings in Pune 2025!!!
Capco announced job vacancy for the post of Cloud Data Engineer. The place of posting will be at Pune. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows.
Company Overview
| Name of the Company | Capco (A Wipro Company) |
| Required Qualifications | Graduate / Engineering / Post Graduate |
| Skills | Strong analytical & communication skills |
| Category | Technology |
| Work Type | Onsite |
Capco, a Wipro company, is a global technology and management consulting firm, recognized for deep transformation execution and delivery across financial and energy sectors, supported by insights aligned with enterprise data analytics. Awarded with Consultancy of the Year in the British Bank Award and ranked among the Top 100 Best Companies for Women in India 2022 by Avtar & Seramount, they support 100+ clients across 32 cities worldwide through strategic expertise strengthened by predictive analytics solutions.
Job Details
Θ Positions: Cloud Data Engineer
Θ Job Location: Pune
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 7451579
Roles and Responsibilities:
- Design, develop and deploy AI/ML solutions on cloud platform(AWS) with processes optimized for data science workflow optimization.
- Build and optimize data pipelines using Databricks and PySpark for large-scale data processing.
- Implement machine learning models and integrate them into production environments.
- Collaborate with data scientists and engineers to ensure scalable and efficient solutions.
- Monitor and maintain cloud-based ML workflows for performance and cost optimization.
- Maintain and support current legacy system in Unix and sql , pl/sql environment.
- Develop high quality, secure and scalable data pipelines using spark, Java/Scala on object storage and Hadoop.
- Follow MasterCard Quality Assurance and Quality Control processes.
- Leverage new technologies and approaches to innovating with increasingly large data sets supported by enhanced big data analytics.
- Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems.
- Perform assigned tasks and production incident independently.
- Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency.
Required Skills & Qualifications:
- Hands-on experience with cloud platform (AWS) for AI/ML workloads.
- Strong proficiency in Python and PySpark for data engineering and ML tasks.
- Solid understanding of Databricks for big data processing and ML model deployment.
- Knowledge of data architecture, distributed computing and performance tuning.
- Familiarity with CI/CD pipelines for ML models.
- Should have experience of working in Unix environment.
- Experience in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment.
- Experience of building data pipelines through Spark with Java/Scala on Hadoop or Object storage.
- Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge.
- Experience of working on Nifi will be an added advantage.
- Experience of working with APIs will be an added advantage.
- Understanding of containerization (Docker, Kubernetes) added advantage.
- Experience of working in Agile teams.
- Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan.
- Strong communication skills – both verbal and written – and strong relationship, collaboration skills and organizational skills.
- Ability to multi-task across multiple projects, interface with external / internal resources and provide technical leadership to junior team members.
- Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results.
- Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement.
- Flexibility to work as a member of a matrix based diverse and geographically distributed project teams.
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